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bayuh85
by bayuh85

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    • A
      license
      A
      quality
      B
      maintenance
      Enables semantic and keyword search over a local codebase by chunking source files along function and class boundaries, embedding them offline, and fusing vector and BM25 results. Runs entirely on your machine in a single SQLite file, so AI coding agents can find relevant code with no API keys, telemetry, or cloud calls.
      7
      13 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to search a locally indexed codebase with hybrid dense, lexical, and symbol-graph retrieval, returning ranked passages with exact file:line-line citations plus graph context and index status. It keeps its index in sync via a file watcher and runs as a local sidecar with no hosted service to deploy.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables natural-language semantic search of a project's code through a local vector index, so questions that plain grep cannot match return ranked file:line references. It also indexes or refreshes projects on demand, reports index status, and optionally flags near-identical code across files.
      4
      230 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables local semantic code search across repositories using natural language, with AST-aware chunking and hybrid vector/FTS5 retrieval.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to search and ask questions about a local codebase with citations, using BM25 and optional embeddings, all offline.
      1 npm
      1
      MIT